Jev in Practice: Browser Use and Agent Workflows

The author is building infrastructure, accounts and a leaderboard plus a feedback page, still aims to ship the first Jev terminal version today, and asks users to test classifiers and strategies.

The author built a website that ranks all 1,025 Pokémon by any question typed in, using Jev; in its view Mimikyu is the most performative.

Someone is looking forward to seeing what participants build at HackTheNorth using TypeSafe AI's Jev, a pre-event warm-up.

Someone filmed a live demo of TypeSafe AI's Jev at AgentConf, showing how it runs in practice.

Jev handled sentiment for a Danish stock market trading bot across all 239 trading days of 2025, using market data, news, Wikipedia and Google Trends, at 8.1 million tokens for $0.32.

A breakdown of Jev's interface design (state to Boolean/Choice/Score plus probability), with plans to compare it against GPT-5.6 structured output on real workflows after getting early access.

A plain-language look at Jev, which only answers yes/no, picks one of several options, or gives a score, applied to reading feeds, sorting an inbox, choosing flights, and routing work in Grok Bot.

Using Jev to pick tools and Mercury 2.5 to generate parameters, WebMCP raised browser task completion from 25/49 to 49/49 at roughly 112x lower model cost than GPT-6 Astra.

The author explains how the t0xhoodX terminal uses Jev for risk scoring, transaction classification and alert filtering, while an LLM handles conversational explanations.

The author swapped an internal automated code review from a GLM, Grok and Gemini ensemble to Jev scoring git diffs first and calling an LLM only on hits, getting zero false positives, seconds instead of minutes, and about 100x lower cost.

The author says he built his own harness for Jev and chose Kotak's API because it charges no fees, running real money at 5x leverage on Nifty intraday.

Kitze open-sourced Skillbox, which self-hosts your .md skills and plugs into any agent via MCP, with a Jev API key making skill retrieval more relevant and faster.